
Manager, M&A Analytics
- Toronto, ON
- 95.000-159.000 $ par an
- Permanent
- Temps-plein
Work Model: Hybrid
Reference code: 128840
Primary Location: Toronto, ON
All Available Locations: Toronto, ON; Burlington, ON; Kitchener, ON; Ottawa, ONOur PurposeAt Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.By living our Purpose, we will make an impact that matters.
- Have many careers in one Firm.
- Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
- Learn from deep subject matter experts through mentoring and on the job coaching
You will be a key member of client deal teams through gathering, normalizing, validating, and analyzing transactional data (e.g., sales, inventory, loan, recurring revenue data) to develop and test hypotheses for a given deal. Your work will often include collaborating with cross-functional teams to bring insights from your work and to form fulsome and consistent messaging for the client. You will leverage your skills on the deal to manage and analyze the data and use visual analytics skills to tell a compelling story of our findings.You will be using business intelligence tools and use your data analytic skillset to provide meaningful insights to our clients which are crucial to their deal investment hypothesis. You will leverage your client service skillset directly interacting with C-suite and private equity executives providing advice on some of the most critical aspects of the M&A transaction.A candidate can expect to do some or all of the following:
- Coordinate with client business and IT personnel to identify, collect and validate data
- Design and develop visualizations and dashboards that deliver crucial financial and operational buy and sell-side insights
- Analyze financial & key performance indicator deal data for trends and outliers
- Directly advise clients
- Excellent verbal and written communication skills are essential, as well as demonstrable evidence of effective team leadership, client relationship development, project management and engagement management, preferably in a client service setting
- Bachelor’s Degree in Accounting, Finance, Mathematics, Statistics, Economics or similar
- Have extensive knowledge of or prior M&A due diligence experience
- Minimum 4 years of experience analyzing and managing large datasets
- Experience analyzing and/or solving business problems in the context of M&A landscapes by applying accounting, financial or transactional acumen
- Demonstrated knowledge of business analytics and relational database concepts
- Experience designing and storytelling via data visualization (examples include but not limited to Tableau, Power BI, Excel Charts, etc.) that supports the transaction scope and helps generate deal relevant insights
- Prior experience at a large or mid-size consulting firm focused on finance or accounting services
- Demonstrated experience managing analytics engagements end-to-end including developing proposals, planning & budgeting, mobilizing and managing engagement teams, defining deliverables, managing teams, and delivering projects with the skillsets and business objectives described above
- Strong working knowledge of data structures and database design
- Knowledge of how to use various software and programming languages for data analyses: e.g. SQL, VBA, Alteryx, Excel
- Master of Business Administration or similar degree
- Statistical methods in support of data analysis
- CPA certification